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Wolfgang Groß
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2020 – today
- 2024
- [c25]Jannick Kuester, Wolfgang Gross, Andreas Michel, Simon Schreiner, Wolfgang Middelmann, Michael Heizmann:
3D-Hybrid Convolutional Autoencoder Model for Hyperspectral Satellite Data Compression. IGARSS 2024: 2564-2567 - [c24]Wolfgang Gross, Simon Schreiner, Jannick Kuester, Andreas Michel, Wolfgang Middelmann, Marius Vögtli, Luc Sierro, Mathias Kneubühler:
Comparing Machine Learning and Classical Approaches for Detection of Camouflage Targets in Hyperspectral Data. IGARSS 2024: 7995-7999 - [c23]Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo
, Cecilia Di Ruberto
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. WACV (Workshops) 2024: 869-891 - 2023
- [j3]Jannick Kuester
Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-22 (2023) - [c22]Wolfgang Gross, Florian Queck, Simon Schreiner, Jonas Mispelhorn, Jannick Kuester, Wolfgang Middelmann, Marius Vögtli
Experimental Approach to Camouflaged Target Detection and Camouflage Evaluation. IGARSS 2023: 2149-2152 - [c21]Marius Vögtli
Hyperthun'22: A Multi-Sensor Multi-Temporal Camouflage Detection Campaign. IGARSS 2023: 2153-2156 - [c20]Jannick Kuester, Wolfgang Groß, Simon Schreiner, Wolfgang Middelmann, Michael Heizmann:
Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression. IGARSS 2023: 5383-5386 - [c19]Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann:
Deep Self-Supervised Hyperspectral-Lidar Fusion for Land Cover Classification. IGARSS 2023: 5910-5913 - [c18]Jonathan González-Santiago, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann:
Deep Self-Supervised Image Denoising for Joint Hyperspectral-Lidar Classification. WHISPERS 2023: 1-5 - [i1]Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann:
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. CoRR abs/2311.14762 (2023) - 2022
- [c17]Andreas Michel, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann:
Class-aware Object Counting. WACV (Workshops) 2022: 469-478 - [c16]Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann:
Deep Self-Supervised Pixel-Level Learning For Hyperspectral Classification. WHISPERS 2022: 1-5 - [c15]Jannick Kuester, Wolfgang Gross, Simon Schreiner, Michael Heizmann, Wolfgang Middelmann:
Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data. WHISPERS 2022: 1-5 - 2021
- [j2]Simon Schreiner, Dubravko Culibrk, Michele Bandecchi
Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors. Autom. 69(4): 325-335 (2021) - 2020
- [c14]Andreas Michel, Wolfgang Groß, Fabian Schenkel, Wolfgang Middelmann:
Hyperspectral Band Selection within a Deep Reinforcement Learning Framework. IGARSS 2020: 52-55 - [c13]Marius Vögtli
A Multi-Scale and Multi-Temporal Hyperspectral Target Detection Experiment - From Design to First Results. IGARSS 2020: 660-663 - [c12]Wolfgang Gross, Dimitri Bulatov, Simon Schreiner, Wolfgang Middelmann:
Feature Concatenation of Hyperspectral and DEM Data for Land Cover Classification. IGARSS 2020: 1303-1306
2010 – 2019
- 2019
- [b1]Wolfgang Groß:
Nonlinear feature normalization for hyperspectral feature transfer. Stuttgart University, Germany, 2019 - [j1]Wolfgang Groß
Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects. IEEE Trans. Geosci. Remote. Sens. 57(8): 5975-5990 (2019) - [c11]Wolfgang Gross, Dimitri Bulatov, Peter Solbrig:
Application of Nonlinear Feature Normalization on Combined Hyperspectral and Lidar Data. IGARSS 2019: 1100-1103 - 2018
- [c10]Wolfgang Groß, Nayeli Espinosa, Merlin Becker, Simon Schreiner, Wolfgang Middelmann:
Improving Linear Classification Using Semi-Supervised Invertible Manifold Alignment. IGARSS 2018: 3551-3554 - [c9]Nayeli Espinosa, Andreas Lenz, Wolfgang Groß, Wolfgang Middelmann:
Towards Fast 3D Reconstruction of Urban Areas from Aerial Nadir Images for a Near Real-Time Remote Sensing System. IGARSS 2018: 6472-6475 - 2017
- [c8]Wolfgang Groß, Sascha Lange, Joschka Bödecker, Manuel Blum:
Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks. ESANN 2017 - [c7]Goksu Keskin, Wolfgang Groß, Wolfgang Middelmann:
Color-guided enhancement of airborne laser scanning data. IGARSS 2017: 2617-2620 - 2015
- [c6]Andreas Lenz, Hendrik Schilling, Wolfgang Groß, Wolfgang Middelmann:
Evaluation and performance analysis of hydrocarbon detection methods using hyperspectral data. IGARSS 2015: 2680-2683 - [c5]Wolfgang Groß, Sebastian Wuttke, Wolfgang Middelmann:
Transformation of hyperspectral data to improve classification by mitigating nonlinear effects. WHISPERS 2015: 1-4 - 2014
- [c4]Wolfgang Groß, Goksu Keskin, Hendrik Schilling, Andreas Lenz, Wolfgang Middelmann:
Automatic modeling of nonlinear signal source variations in hyperspectral data. IGARSS 2014: 2965-2968 - [c3]Andreas Lenz, Hendrik Schilling, Dominik Perpeet, Sebastian Wuttke
Automatic in-flight boresight calibration considering topography for hyperspectral pushbroom sensors. IGARSS 2014: 2981-2984 - 2012
- [c2]Wolfgang Groß, Hendrik Schilling, Wolfgang Middelmann:
An approach to fully unsupervised hyperspectral unmixing. IGARSS 2012: 4714-4717
2000 – 2009
- 2002
- [c1]Wolfgang Groß, Torsten Meyer, Frank Zimmer, Claus Herrmann:
The Reference Point Method: Requirements-Based ICT Convergence Solution Development. RE 2002: 193
Coauthor Index
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